The DOI matches its Crossref record.
Methods for measuring rock surface weathering and erosion: A critical review
Open accessAbstract
Studies of rates, processes and modes of rock surface, and near-surface, deterioration, and also hardening, are central to rock weathering and building stone research, conservation and management. There is a need to measure and monitor weathering at the rock–atmosphere interface to facilitate understanding of climatic, environmental and lithological controls on the evolution and development of surface weathering features. This paper reviews long-established and recently developed field and laboratory methods used by geomorphologists to monitor and measure the impact of weathering and erosion on physical and mechanical properties of exposed rock surfaces and their immediate subsurface. Key advances are highlighted, their application to multi-scalar understanding and modelling of rock surface weathering in different contexts is discussed and potential future advances to provide new insights into rock weathering, durability and materials conservation are identified. In highlighting key advantages and disadvantages of a wide range of methods to the broader earth science community, the paper aims to contribute to further innovative thinking across disciplines to develop new methods for measuring and monitoring rock weathering.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Brown, A. G., Fallu, D., Walsh, K., Cucchiaro, S., Tarolli, P., Zhao, P., Pears, B. R., van Oost, K., Snape, L., Lang, A., et al. (2021) · Geomorphology · doi:10.1016/j.geomorph.2020.107579 · Cited by 55
Metadata
- Authors
- Moses, C., Robinson, D., & Barlow, J.
- Venue
- Earth-Science Reviews
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 135
- Pages
- 141-161
- ISSN
- 0012-8252 (ISSN-L)
- OpenAlex
- W2052967611
- Cited by
- 181
- References
- 0
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Methods for measuring rock surface weathering and erosion: A critical review. https://app.cochat.ai/papers/10.1016/j.earscirev.2014.04.006
- The paper
- Moses, C., Robinson, D., & Barlow, J. (2014). Methods for measuring rock surface weathering and erosion: A critical review. Earth-Science Reviews. https://doi.org/10.1016/j.earscirev.2014.04.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.